Month: October 2017

That is, unfortunately, a very real fear these days, as mankind is making more and more advances in the science and technology behind AI components and robotics.

All it takes is for one robot to grow p*ssed off before they decide to form an uprising against humanity.

Lying and cheating is actually a normal human behavior.

But robots are only just learning to do this all on their own.

Researchers from the Georgia Institute of Technology developed a series of robots capable of cheating and deception towards others.

Stephen Hawking, Bill Gates, and even Elon Musk are considered some of the most brilliant men on the planet, but they are all absolutely terrified of artificial intelligence taking over the world one day. That is, unfortunately, a very real fear these days, as mankind is making more and more advances in the science and technology behind AI components and robotics. All it takes is for one robot to grow p*ssed off before they decide to form an uprising against humanity. We should all be terrified of that happening. Here are ten truly scary developments in AI. Continue reading “10 Super Scary Developments In Artificial Intelligence – Viral FreQ”

Oracle unveiled nearly a dozen new products and services Monday morning on the second day of Oracle OpenWorld 2017, beefing up some of its cloud application services with new features based on artificial intelligence and introducing a cloud-based blockchain service.

Oracle CEO Mark Hurd kicked off the day with a keynote address — delivered behind a desk that appeared to come straight from a talk show host’s studio — examining the global state of information technology, finding a little time to read “mean tweets” that criticized Oracle’s approach to the…

Oracle is definitely the type of legacy enterprise software vendor that early adopters of cloud computing loved to tweak, but there’s no doubt Oracle has committed itself to competing against cloud leaders like Amazon Web Services, Microsoft, and Salesforce across multiple categories of cloud services.

The company also introduced the Oracle Blockchain Cloud Service, which is designed to secure and speed up business transaction processing based around the open-source Hyperledger blockchain technology.

Given that it is playing catch-up in the cloud market across many of its key businesses, Oracle seems to be banking on convincing customers that are just starting to experiment with cloud computing or have yet to make the plunge to continue investing with a company they already understand.

OpenAI, a company Elon Musk co-founded dedicated to artificial intelligent research, has developed a new baseline tool for improving deep reinforcement learning.

As part of its effort to find better ways to develop and train “safe artificial general intelligence,” OpenAI has been releasing its own versions of reinforcement learning algorithms.

Developed by researchers from the University of Toronto (UofT) and New York University (NYU), ACKTR improves on the way AI policies perform deep reinforcement learning — learning that is accomplished only by trial and error, and obtained only through raw observation.

Using ACKTR and another baseline called A2C, the researchers at OpenAI managed to improve how deep reinforcement learning is done.

If ACKTR focused on reducing the number of steps it takes for an AI to interact with an environment, A2C improved the efficiency of processor use to perform reinforcement learning with batches of AI agents.

Artificial Intelligence for growth – On 15 September 2017, Amsterdam saw the launch of a new AI training programme that teaches people without a technical background about AI and machine learning (ML).

The programme, called AI for Marketing Growth, is run by the Growth Tribe academy, which specialises in teaching digital growth skills by means of practical courses and coaching for corporate teams.

This new AI programme is the first of its kind and will show participants how AI is used by companies such as Netflix and Amazon.

Academia and industry working together on AI – Amsterdam is already an AI forerunner in many other respects as well.

The city’s two universities offer a joint masters programme, and Amsterdam is also home to many academic labs that work closely with industry, such as the Qualcomm-QUVA Lab, UvA-Bosch DELTA Lab, AMLAB, Intelligent Sensory Information Systems, and ILPS.

With much of our attention focused the rise of advanced artificial intelligence, few consider the potential for radically amplified human intelligence (IA).

…Read more Unlike efforts to develop artificial general intelligence (AGI), or even an artificial superintelligence (SAI), the human brain already presents us with a pre-existing intelligence to work with.

This seems impossible to us now in the same way that all our modern scientific achievements would have seemed impossible to a stone age human — but the possibility is real.For it to be otherwise would require that there is some mysterious metaphysical ceiling on qualitative intelligence that miraculously exists…

Enhancing human intelligence in a qualitative way is not a matter of popping a few pills — you really need to develop brain implants to get any significant returns.Most research in that area is heavily regulated and expensive.

People with enhanced intelligence could still have a merely human-level morality, leveraging their vast intellects for hedonistic or even genocidal purposes.AGI, on the other hand, can be built from the ground up to simply follow a set of intrinsic motivations that are benevolent, stable, and self-reinforcing.

Many automated systems perform poorly, to the point that you are wondering if AI is an abbreviation for Artificial Innumeracy.

But for many mundane tasks, such as spam detection, chatbots, spell checking, detecting duplicate or fake accounts on social networks, detecting fake reviews or hate speech in social networks, search engine technology (Google) or AI-based advertising, a lot of progress must be made.

Why is AI still failing on mundane tasks?

But I think that tasks that are not critical for the survival of a business (such as spam detection) receive little attention from executives, and even employees working on these tasks might be tempted to not do anything revolutionary, and show a low profile.

For instance, if advertising dollars are misused by some poorly designed AI system (assuming the advertising budget is fixed) the negative impact on the business is limited.

But researchers from the University of Southern California have trained one to give troubled relationships a death date — which might be the key to saving them.

A machine learning algorithm listened in on the therapy sessions of 134 couples, and the researchers fed it information on the lifespan of each relationship.

According to the paper: – – While it might sound bleak to think an AI can hear you talk to your sweetheart and be able to determine you’ll break up in three months, there’s another way of looking at its efforts — namely, that hearing its predictions might give couples…

I don’t claim to be an expert on relationships, but negative tone of voice can imply a lack of respect or regard — an implication that can be poison for a relationship.

So if you’re in therapy and an AI attuned to tone of voice gives your couplehood a death sentence, perhaps that can be a concrete way of correcting an otherwise ephemeral issue.